The Lead Autonomy Engineer is a key technical contributor and small engineering team lead on multiple programs aligned with division and/or group objectives. Mission autonomy is the ability for autonomous agents or teams to conduct strategic decision-making and coordinated actions toward longer-term operational objectives through persistent world modeling, predictive simulation, and adaptive planning under uncertainty and adversarial conditions. Essential Functions • Lead a team to develop innovative solutions to address technical challenges derived from customer requirements. • Serve as a subject matter expert in emerging mission autonomy technologies. • Support or lead marketing and proposal efforts in mission autonomy. • Support or lead managing and tasking team to achieve program milestones. • Take primary responsibility for prime and customer-facing interactions.  • Stay current with industry trends, emerging technologies, and best practices in mission autonomy and other areas relevant to Scientific Systems.  • Collaborate with multi-disciplinary teams to advance R&D roadmaps. • The role does require the ability to sit or stand at a desk and work on a computer for prolonged periods of time. • This role may require occasional travel when necessary. • May require the ability to push/pull/lift up to 15 pounds.   • Must be able to obtain and maintain a US DOD Security Clearance. Requirements Basic Qualifications: • Bachelor of Science degree in Math, Statistics, Computer Science, Engineering, Physical Science, Operations Research, Data Science, or equivalent experience and 7+ years of progressive autonomy technologies experience including team leadership in a related industry, a Master degree and 5+ years of related engineering experience, or a Ph.D. degree and 2+ years working in a related engineering role. • Experience working in a team leadership role in a related industry. • Proven track record of leading proposals and winning contracts. • Proven track record of leading programs in the principal investigator role or similar experience. • Experience in building and integrating software for edge platforms. • Experience with C/C++, Python, and/or project-specific required languages. (e.g. Java, Rust, etc.) • Experience assisting with non-technical programmatic priorities as needed, including staff planning, budget estimation and tracking, and customer-facing interactions. • Background in robotics technologies related to motion planning, behavior modeling, or decision-making and their accompanying algorithms. • Experience with simulation tools and environments (e.g., AFSIM, NGTS) for validation, verification, and training. Preferred Qualifications • M.S. or Ph.D. degrees  • Familiar with AI/ML standard libraries and tools. • Experience working in Linux-based development environments. • Excellent organizational skills and attention to detail. • Experience working on both classical autonomy and machine learning and the combination of the two, blending rule-based systems with learning-based methods such as reinforcement learning and generative methods to achieve resilient, adaptive behavior. • Experience developing software modules that combine planning, decision-making, and behavior execution in dynamic, adversarial environments. • Experience implementing and testing behavior architectures such as multi-agent collaboration, target engagement, payload management, reconnaissance, and engagement in adversarial scenarios. • Ability to analyze mission logs to diagnose failures and optimize models for iterative development. • Excellent oral and written communication skills including technical writing skills. • Ability to identify and creatively solve complex problems Benefits • Salary: $150,000 - $196,000 (Depends on Experience) • Health Care Plan (Medical, Dental & Vision) • Retirement Plan (401k, IRA) • Life Insurance (Basic, Voluntary & AD&D) • Paid Time Off (Vacation, Sick & Public Holidays) • Family Leave (Maternity, Paternity) • Short Term & Long Term Disability • Training & Development • Hybrid Work Schedule • Free Food & Snacks • Wellness Resources • Summer 9/80 work schedule